Triple
T17716521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chancellor |
E442213
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Chancellor |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Chancellor | Statement: [Chancellor, hasNotableBearer, John Chancellor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Chancellor Context triple: [Chancellor, hasNotableBearer, John Chancellor]
-
A.
John Chancellor
John Chancellor was a British colonial administrator and diplomat who served in several high-ranking imperial posts during the early 20th century.
-
B.
John Chancellor
chosen
John Chancellor was a prominent American television journalist and news anchor best known for his long tenure as a leading figure in network evening news during the mid-20th century.
-
C.
Dean Holdsworth
Dean Holdsworth is a former English professional footballer and manager best known as a prolific striker in the 1990s, notably for Wimbledon and Bolton Wanderers.
-
D.
Lee Boardman
Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
-
E.
Roy Marples
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47480955481908fa0d3d34aaedd48 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.